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Towards improved management of coastal submersion crises - CRISMA-WAVE solution as an example of CRISMA Framework application
Erlich, M.; Coulet, C.; De Groof, A. (2016). Towards improved management of coastal submersion crises - CRISMA-WAVE solution as an example of CRISMA Framework application, in: Lang, M. et al. 3rd European Conference on Flood Risk Management (FLOODrisk 2016), Lyon, France, October 17-21, 2016. E3S Web of Conferences, 7: pp. 11 pp. https://dx.doi.org/10.1051/e3sconf/20160717008
In: Lang, M. et al. (Ed.) (2016). 3rd European Conference on Flood Risk Management (FLOODrisk 2016), Lyon, France, October 17-21, 2016. E3S Web of Conferences, 7. EDP Sciences: France. , meer
In: E3S Web of Conferences. EDP Sciences. ISSN 2267-1242; e-ISSN 2267-1242, meer
Beschikbaar in  Auteurs 
Documenttype: Congresbijdrage
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  • Erlich, M.
  • Coulet, C.
  • De Groof, A.
Abstract
    Coping with various types of natural or man-made hazards the FP7 SECURITY CRISMA project (http://www.crisrnaprojecteu) has designed and developed an experimental software framework allowing building crisis management simulation application. One of the five pilot applications of CRISMA dealing with preparedness to the coastal submersions was developed and implemented using return of experience of the reference Xynthia storm surge event in the Charente Maritime County in France. The paper addresses the generic CRISMA Framework applicability to simulate mitigation effects of a coastal submersion through CRISMA-Wave implementation of a full modelling cycle. The CRISMA-Wave paradigm reflects user needs for simulation of "what-if" scenarios for short and long-term actions and the paper describes in particular its different components : *Simulation of submersion effects at a range of temporal and spatial scales, *Preparedness Planning, *Assessment of impacts depending on scenarios based on options for managing the inundation risks, *Cascading effects and *Evaluation of damages with comparison of submersion defence scenarios based on cost-benefit and multi criteria analysis.
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